IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2019i1p320-d303653.html
   My bibliography  Save this article

A Recommendation Mechanism for Under-Emphasized Tourist Spots Using Topic Modeling and Sentiment Analysis

Author

Listed:
  • Wafa Shafqat

    (Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)

  • Yung-Cheol Byun

    (Department of Computer Engineering, Jeju National University, Jeju 63243, Korea)

Abstract

With rapid advancements in internet applications, the growth rate of recommendation systems for tourists has skyrocketed. This has generated an enormous amount of travel-based data in the form of reviews, blogs, and ratings. However, most recommendation systems only recommend the top-rated places. Along with the top-ranked places, we aim to discover places that are often ignored by tourists owing to lack of promotion or effective advertising, referred to as under-emphasized locations. In this study, we use all relevant data, such as travel blogs, ratings, and reviews, in order to obtain optimal recommendations. We also aim to discover the latent factors that need to be addressed, such as food, cleanliness, and opening hours, and recommend a tourist place based on user history data. In this study, we propose a cross mapping table approach based on the location’s popularity, ratings, latent topics, and sentiments. An objective function for recommendation optimization is formulated based on these mappings. The baseline algorithms are latent Dirichlet allocation (LDA) and support vector machine (SVM). Our results show that the combined features of LDA, SVM, ratings, and cross mappings are conducive to enhanced performance. The main motivation of this study was to help tourist industries to direct more attention towards designing effective promotional activities for under-emphasized locations.

Suggested Citation

  • Wafa Shafqat & Yung-Cheol Byun, 2019. "A Recommendation Mechanism for Under-Emphasized Tourist Spots Using Topic Modeling and Sentiment Analysis," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:320-:d:303653
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/320/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/1/320/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hongyu Han & Yongshi Zhang & Jianpei Zhang & Jing Yang & Xiaomei Zou, 2018. "Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-11, August.
    2. Saeed Nosratabadi & Amir Mosavi & Shahaboddin Shamshirband & Edmundas Kazimieras Zavadskas & Andry Rakotonirainy & Kwok Wing Chau, 2019. "Sustainable Business Models: A Review," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    3. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    4. Lirong Chen & Wenli Li & Hao Chen & Shidao Geng, 2019. "Detection of Fake Reviews: Analysis of Sellers’ Manipulation Behavior," Sustainability, MDPI, vol. 11(17), pages 1-13, September.
    5. Sehrish Malik & DoHyeun Kim, 2019. "Optimal Travel Route Recommendation Mechanism Based on Neural Networks and Particle Swarm Optimization for Efficient Tourism Using Tourist Vehicular Data," Sustainability, MDPI, vol. 11(12), pages 1-26, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    2. Paolo E. Giordani & Francesco Rullani, 2020. "The Digital Revolution and COVID-19," Working Papers 06, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    3. Sebastian Schroedel, 2023. "The Sustainable Business Model Database: 92 Patterns That Enable Sustainability in Business Model Innovation," Sustainability, MDPI, vol. 15(10), pages 1-27, May.
    4. Hellen Ogutu & Youssef El Archi & Lóránt Dénes Dávid, 2023. "Current trends in sustainable organization management: A bibliometric analysis," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 11-45, March.
    5. Arfaoui, Nadia & Naeem, Muhammad Abubakr & Boubaker, Sabri & Mirza, Nawazish & Karim, Sitara, 2023. "Interdependence of clean energy and green markets with cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    6. Carmela Iorio & Giuseppe Pandolfo & Antonio D’Ambrosio & Roberta Siciliano, 2020. "Mining big data in tourism," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1655-1669, December.
    7. Nadia Preghenella & Cinzia Battistella, 2021. "Exploring business models for sustainability: A bibliographic investigation of the literature and future research directions," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2505-2522, July.
    8. Gerard Farias & Christine Farias & Isabella Krysa & Joel Harmon, 2020. "Sustainability Mindsets for Strategic Management: Lifting the Yoke of the Neo-Classical Economic Perspective," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    9. Simona Stojanova & Nina Cvar & Jurij Verhovnik & Nataša Božić & Jure Trilar & Andrej Kos & Emilija Stojmenova Duh, 2022. "Rural Digital Innovation Hubs as a Paradigm for Sustainable Business Models in Europe’s Rural Areas," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    10. Joaquin Sanchez-Planelles & Marival Segarra-Oña & Angel Peiro-Signes, 2020. "Building a Theoretical Framework for Corporate Sustainability," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    11. Viomesh Kumar Singh & Sangeeta Sabharwal & Goldie Gabrani, 2022. "A new fuzzy clustering-based recommendation method using grasshopper optimization algorithm and Map-Reduce," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2698-2709, October.
    12. Josef Zelenka & Tracy Azubuike & Martina Pásková, 2021. "Trust Model for Online Reviews of Tourism Services and Evaluation of Destinations," Administrative Sciences, MDPI, vol. 11(2), pages 1-21, March.
    13. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    14. Yani Wang & Jun Wang & Tang Yao, 2019. "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Springer, vol. 19(2), pages 257-284, June.
    15. Wenzhi Cao & Xingen Yang & Yi Yang, 2023. "A Large-Scale Reviews-Driven Multi-Criteria Product Ranking Approach Based on User Credibility and Division Mechanism," Mathematics, MDPI, vol. 11(13), pages 1-19, July.
    16. Dias Satria & Joshi Maharani Wibowo, 2021. "Big Data Analysis of Sustainable Tourism Competitiveness in East Java Province," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 189-203.
    17. Roberto Hernández-Chea & Akriti Jain & Nancy M. P. Bocken & Anjula Gurtoo, 2021. "The Business Model in Sustainability Transitions: A Conceptualization," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    18. Yaffa Moskovich, 2023. "Communal Organizational Culture as a Source of Business-Success Sustainability in Kibbutz Industry—Two Case Studies," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    19. Maria Federica Cordova & Andrea Celone, 2019. "SDGs and Innovation in the Business Context Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    20. Sheema Liza Idris & Masurah Mohamad, 2023. "A Study on Sentiment Analysis on Airline Quality Services: A Conceptual Paper," Information Management and Business Review, AMH International, vol. 15(4), pages 564-576.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:320-:d:303653. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.